{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. 趋势理论_通道篇\n",
    "*用Python量化你的技术分析*"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 目录\n",
    "- 通道是什么？\n",
    "- 不同通道是怎么计算的？\n",
    "- 通道如何用图表显示？\n",
    "- 如何用通道构建策略？"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 通道是什么？\n",
    "通道突破是技术分析中一个判断趋势的重要方法，其观念在于市场价格穿透了之前的价格压力或支撑，继而形成一股新的趋势，而交易策略的目标即是在突破发生时能够确认并建立仓位以获取趋势的利润。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 不同通道是怎么计算的？\n",
    "---\n",
    "### 1. 均线百分比通道\n",
    "\n",
    "$Upper = MA*1.03$\n",
    "\n",
    "$lower = MA*0.97$\n",
    "\n",
    "---\n",
    "\n",
    "### 2. 布林带通道\n",
    "$upper = MA+2\\sigma$\n",
    "\n",
    "$lower = MA-2\\sigma$\n",
    "\n",
    "---\n",
    "\n",
    "### 3. 平均波幅通道\n",
    "$upper = MA + ATR$\n",
    "\n",
    "$lower = MA - ATR$\n",
    "\n",
    "---\n",
    "\n",
    "### 4. 高低价通道\n",
    "$upper = Max(High,20)$\n",
    "\n",
    "$lower = Min(low,20)$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 通道如何用图表显示？"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import talib as ta\n",
    "import tushare as ts\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "data = ts.get_k_data('600036', start='2016-01-01', end='2016-12-31', ktype='D',autype='qfq')\n",
    "data.index = pd.to_datetime(data['date'],format='%Y-%m-%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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/+r/uZjKSvLEO2CkMWjV3NRRzrHuM39xfjUWv4b331GM3zdwh1E81d1kNGppK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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb7e0550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#均线百分比通道\n",
    "middleband = ta.abstract.MA(data, timeperiod=20)\n",
    "upperband = middleband*1.03\n",
    "lowerband = middleband*0.97\n",
    "data_B = pd.concat([middleband, upperband , lowerband], axis=1)\n",
    "data_B.columns = ['middleband','upperband','lowerband']\n",
    "plt.plot(data['close'])\n",
    "plt.plot(data_B['middleband'], 'r', alpha=0.3)\n",
    "plt.plot(data_B['upperband'], 'g', alpha=0.3)\n",
    "plt.plot(data_B['lowerband'], 'g', alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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vnnMjusKqRyWYcIfDpHNptKrF/2xuJIVU0Tw2x7e2L/NaFBTuaGITDoWJbBBg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\nlgp8MQghTkopD230PNbKZrEjzWayZzPZAsqecuZW26JCNAqFQrFJUQK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      "text/plain": [
       "<matplotlib.figure.Figure at 0xb832860>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#布林带\n",
    "data_B= ta.abstract.BBANDS(data, timeperiod=20)\n",
    "plt.plot(data['close'])\n",
    "plt.plot(data_B['middleband'], 'r', alpha=0.3)\n",
    "plt.plot(data_B['upperband'], 'g', alpha=0.3)\n",
    "plt.plot(data_B['lowerband'], 'g', alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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5b19XolVr6XB1cMp7Cm/Ue12vdS2sKvCSJH0TuA9wSpI0BnwK+ADweUmSNECS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\nQShQ/j8ug1HIiA/ExAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb7e0400>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#平均波幅率通道线\n",
    "atr = ta.abstract.ATR(data, 20)\n",
    "middleband = ta.abstract.MA(data,20)\n",
    "upperband = middleband + atr\n",
    "lowerband = middleband - atr\n",
    "data_B = pd.concat([middleband, upperband, lowerband], axis=1)\n",
    "data_B.columns = ['middleband', 'upperband', 'lowerband']\n",
    "plt.plot(data['close'])\n",
    "plt.plot(data_B['middleband'], 'r', alpha=0.3)\n",
    "plt.plot(data_B['upperband'], 'g', alpha=0.3)\n",
    "plt.plot(data_B['lowerband'], 'g', alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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/g4aCBpzmhS3JzBXlzmI+fHMDFfmpkW1pr508syG7bRgzRE6ySiRzJJwIj0xe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\nStFUJkMjhchX+ZXgXSZcXyDMPM9ZJninE9rb4d1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      "text/plain": [
       "<matplotlib.figure.Figure at 0xb7e0358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#高低价通道\n",
    "upperband = ta.abstract.MAX(data, 20, price='high')\n",
    "lowerband = ta.abstract.MIN(data, 20, price='low')\n",
    "middleband = (upperband+lowerband)/2\n",
    "data_B = pd.concat([middleband, upperband, lowerband], axis=1)\n",
    "data_B.columns = ['middleband', 'upperband', 'lowerband']\n",
    "plt.plot(data['close'])\n",
    "plt.plot(data_B['middleband'], 'r', alpha=0.3)\n",
    "plt.plot(data_B['upperband'], 'g', alpha=0.3)\n",
    "plt.plot(data_B['lowerband'], 'g', alpha=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 如何用通道构建策略？\n",
    "\n",
    "Donchian’s 5 and 20 day MA and Breakout system\n",
    "- A 5-day moving average\n",
    "- A 20-day moving average\n",
    "- The average true range based on 20-day\n",
    "\n",
    "Buy: \n",
    "\n",
    "$Close_t > MA5_{t−1} + ATR_{t−1} \\text{ and } Close_t > MA20_{t−1} + ATR_{t−1}$\n",
    "\n",
    "Exit: \n",
    "$Close_t < MA5_{t−1} - ATR_{t−1} \\text{ or } Close_t < MA20_{t−1} - ATR_{t−1}$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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kSe8H3g9QWrr4rY+CwmqlzxMmmkhTW2CZjvYMBpF7DtMrSyMe0ZQid3m1wwcC\nA0STUSqsFbNeryuw8r8JHWGvH9OEPzwTk9ZEbWYtr/Sd5CcHf8/JbgPdM8T28cYBHm8UtWt+/N4d\nYt5gmdxVn8/Dv2uj3xOmJHN60Dk76Cc7Q0eeVY8kSazJyaBrTgQfT6b5z2fb+OvrK8m3zT7njz1+\nmngyzQttTkozTTx4Vy1byxyYdEtImNcr1gmo5sex/YF+hkPDlFpKqbRXLvv6ZnLvlmIeeVxHV4+T\nbdvmvFlURN72m/EfeIqellepa7h9wWNcaS41TfIDwEdkWS4BPgJ8f7ENZVn+jizL22RZ3pazzMkO\nBYXVhCckShLkWvTTHY+MRmEhGAzTE66BEVBpRMemCzAcHKbL10WOKYdc0+zMlXUFFnyGDAbGI9OD\nyBxyTDn88ECAZ1qbycoc4kO3OXjiA9v4sy3T+emnPn0b11df3N/sXRtEg43fNc2O4puHfNQX2abs\njzU5GbO8foDjPR6+/+p5nj492xCIJVM8c2aYX58eIhhL8sGb1nB9dc7S4h4Kie93Af/dE/XQ7e0m\n25hNha1igZ2XR4nDRESrxz22cPcrXWU12YVVxFvO4gyuzCrXSxX4vwKemnj+OKBMsiooLEI4Liba\nzHrNdFlZo1FMzk36w6mEaKZtzl4w4pzJWHiMc+PnyDRksi5z3TzPuK7ARkBv4li/j4hzbMFjjIfi\nnD1v4B2btvKxO9awbW2coKqVDOswSAl2VWbOawa+JLIMTU2UtJ1iU76Z35wZ5i++fYjvv3qeaCJF\nhzPIhhlt8arzMnAGYvgi06V6T/QJz/yXpwa59ZGXeerEANFEipN9XiKJ6QJqO8oXqaUzics1Xadn\nzexeq7FUjDZPGyatacHv7mLItehJ6A14Xb6FN5AkcjbtJSOpwvn0Y0RHLrGi5+vgUi2aIWAf8BJw\nM9BxuU5IQWG1EYpNCLxOA4NusbhHrRZRZmEhJOOiTV46CfayJY+VTCdp9bRi1VtZn7UelTR/MMiz\n6lGr1Tzd4SX18jnevalh3jYHOsZIy/CW+gY2FzgIJ8I4w04k9THUpn6sGcto1TfJRAclhoZAkni3\nJsI/9BuQJRVHznv4ffMIqbTMlhnNxKtzRSbNO797mFyLng/dXM3JPhEJN0+0H/zoz0/z4FNnyc7Q\no5JAkiRKHEZyrYv0NvX7RWVIl0vcGW3ZAgYDqXSKbl8349FxwskwEhL12fWoVctoY7gEKpWEJdOK\nzzeRcrp9L1t1AAAgAElEQVRArr0qL5/CfW+mq+UAMb2aq92V9YICL0nSY8CNQLYkSQPAvwB/DXxF\nkiQNEGXCY1dQUJhPKCaiT7NOJcSnqEiUlpVlMOmh/wgkwqJYl2np6NQT9ZCW01TaKhcVKEmS+Np9\nm/nWF9rwuheOLl/pcOEwaWkoFncQJq2Jcls5f7XFxh+afsG+DUla3a04DA50ah1alXbqMe9zOzuF\nuNfVgcHAXt9B6o910V1aQzQlc+S8h4/fUcONNdN2z9o8MYncPOSnRYIX28eYmV6/tyqb+68r51C3\nm0NdbnZWZKJWSZRnLzLwjIyIVblqtSjHUF4+dSfUH+hnMDhIpiGTfHM+mYZMMnTLqE2zDOzZNtzd\nQ2JuZZHFVKbSNdSXVL6uu4VL5YICL8vyfYu8tfUyn4uCwqokNGHRZIQDot5LTs50RcdwL0gxUW/F\nvHiZgEnGImNoVVqsuqUnPu/cUMBvi7NIBBf2h5sGfTSU2OctWqrIcvDaR95Dt6+bPn8fo+H5NeRV\nkmpK7A1oKGvrwFJQPmWH5O7eyu3H+zFXqrjh7j1kZ+jm2T0zs3L++/7ttI8E+OmRPnZWZPJ44wC3\n1eVx68TjgoyPizK/Vivs2DGrTWA8Fac/0E+OMYf12Ze/8XVWjgP3mbiw3paod7MS4g7KSlYFhSvO\nVATvnxDbrCyxuIk0yCHIql6WuKflNJ6Ih1xT7rIEQ2fJIOIZmWUfHD3v4buvdNM2EuDm2vnNuyep\ntFVSYikhkUqQSE88Jp7HU/Gp1+Ln2uhxdZK9pZ6CqZ0r+fB9e0UWS455wUVKMweW66uyuakml7/d\nt4ZQLInVqOWeTctbB4Asi9o1Op0oiaybPZB0eDuQkV/XZOpS5OTaORuJ82//e4xPffhutHOrg64w\nisArKFxhQrEkKgn0XrdI29PpRMSnioOkE80tlsF4dJyUnCLbmL2s7Y02i/D/J+wDWZb5t6ebpzzu\n9YVLN6eYjNIXJJEAn49UYJDzBaW0y6OMu2XW2NegV+tFpcvRUWFJzcmei6ViuJuO8ZUNPgKF1cRT\nEWR0qFVqzHoN//yndcu6PkAUaPP7YcsWXCk/IX8Ii86CRWthIDiwZOmBy0Fpvp1TkprXzvZxvGec\n3Yvl5K8QisArKFxhQvEkVo2E5PVOZ3WEw0AENFmiNO4ycEVcqCU1DsPSS+8nMdkyGImnpuyDF9ud\nU+IOLD+/PZ0WGT9e7/QjKFIc1SoVlbvvRKMO0BfowxVxkWfKoySzCJNWCz09JLMcDAQGCCfDxFIx\nUk1n0fcMUAlwvoe28cP4t9SBWo1KUqGW1MiIypQGtQGT1jRV3XFqUjkUEr5/RwdBm5FzmlH8rvmN\nTPJMeUuWHni9vKmhkKK7NvDwSz282O6cEvhvvtRFVW7GVEnllUIReAWFK0wolqQwFQZZPx3N+jyg\nDovWdssgLacZi4yRZcxaMHNmIcw2C+FYkrTPj5SXx1ef76TYYWRXZRZPNA5QlrlEVOtyCQH1ekWE\nPNkr1WAQqZ3FxeKn3Y5Kq6WcLHJNufQH+hkNjzIcGqbQkcTadZphWwifEQwaA5YRL/bRMJkNt6Cu\nqibU3wVtbSS6QkS2biBJmmQ6OSXy4WQYX8yHM+xkIDBAgS4L48lmZI+LVDpFMEPHUEEBmlSUGkcN\n2aZsgvEggXgAk9a07LudS0WrVrGzvoRtLSO80ObkU3et43iPh/98tg2TTs2zf3cDpVlX5u5hOSgC\nr6BwhQnFU+QnAqAyilWr8Tj4R6HAAPblRZfuiJtkOjmrRvmFyLBnMG6wEG5u4YxX5lS/l/94az33\nbS/lM/fUz5tgJZ2GtjaRkRIKido4DgdUVU2J+dxVsTMxaU3UZNZQYatgIDjAcKqPSOc4utNNrL/9\nXnLG4zAwBuUNsHk7qFTobJlgzRO137vHRZPwuZ69LONy99HfewZ3x6uoYnHClSUk8nNQmzMoyyii\nOKN4KrvHYXAs+y7nsmAysSVbz/ecQVzBGJ9/rp3sDB2hWIpvHejis2/dcOFjXCEUgVdQuMKEYkkK\n40HIWidS94JBCLsgaydol5cZPRIaQafW4dAvX7gcJi1nCqoJqHS8+OPfsCarmrdtLUalkjAslGI5\nOira9mVlieYbhYULVrC8EDq1jkpbpSihkFGPdPgwNLaJQSM/X9Szn7mYq7RUDHqtrSIDZv160d3J\n6RTWkM9HdjJJNpDIWk9qYz3qnFw0kmbFslNmYTZTlWXE4Izylf0dHD3v4aG3rOdgp5sX25zIsqxk\n0SgorFbiwQj2ZHTannEPQDoFeWuW3nFy/1QcT9RDiaXkooTCbtKSUGv5jamM1rETfHKNF308BppF\nLIOBASGwu3cvmPlysUiSJAqp1deLVnzFxdDQsPBK3aoqUdq3u1sUSfP5xHY2m9jPZgObDa3VivZa\nEPWZZGVRlmkiJ+rlx4d7Kck08o7tpRg0ap5tHqF1OHBR9XwuJ4rAKyhcYdJ+P0ateroswVgvqNSQ\ndWH/XZZlBgIDyMgXZc8A2IwiZfCrrw2QWbORfdVqOHwY9uyZlStONCoajoyOQkXFZRH3WZSXi8HN\nZFr62HV1wibq6YHKStEf9gJlG64JLBb0FjNbTW76gY/cuhadRsWNtWJA//XpIR5v7OddO0upyr1w\nldDLiSLwfwy4XEJc5jZRULgqyKEgeo1KCFw6DePDYMmeLbIL4Iv56PR2EogHyDZmX3Sqn8MkUhwD\nsSR/d3c9unoHHDoER4/C3r1CbHt6xPJ+WRZWydr5reouC+ZllD6QJNEbtrJyedtfS+TkcHtOP2OO\nTN4ykcOfazFQmmnip0d68UeTU4XYribKX/xqp7tb/AFnZYmFIJfgqSq8PtLBMDqLVkxQBp0ibTFz\n6YU3roiLJlcTOrWO2sxa8kwXn243uXo006zjnTtLQacR/vaZM6JUgsUiJlXtdjG5aVq5bI9ZvNHE\nHSAri7vW5XDXjfXMrLmwodjGM2eG0WlUbCxeXjrs5eQNcP+jcMkkEmLiymIRvuYf/iDEPnTxjRYU\nXgfhEGqzSdR6dzZDXAbH0nbLQGAAo8bIzvyd5JvzL2mSzmbUUuww8ve3Vk+X1s2dWFTldosUyERC\n2DLXiri/UZms6T+nPPNkBc1NJfYF2x1eaZQIfjXjcglLYONGcQve0wPnz4uoPj8ftm27/H6rwizS\naRlVOIw6Ix+GTkIqCRmlS0ap4UQYb8xLha3idVU8VKskXvn4TbMHB6NRPDweMakJ0x2lFC4ds1lY\nbm43lE1XBN04IfAXLHF8hVAEfjXjdIoaJA6HEPKsLPFH3dUlHqOjQugVrhjhRApjIkaOegyiFsiu\nB9WpJSPmkfAIEtJFT6ouxIKRf2YmDA6K59nZ8+q3KFwi2dliDcHAgMj8AbaUOXhzQyFv3bLM2jqX\nGUXgVzNjY+KXbuYfuV4vshOGh4XIXw2Bn1xWnpOzaAPkNwT9/aIapCyLXPZYTFgcubmiBMECYjru\n9mOXA9h0ZlFUTDORLreIwMuyzEhohExDpqjpciWoqhIDv9ksJlYVLg91daLuz8mTIniqr8eg1/PV\n+zav2CkpAr9aSSTEL1t5+fz3JEn4rs3Nwoe9UqKbTsOrr4qcZhATerm5UFNzbQt9Oi0isZyc6Rrf\nySScOjW9jV4/nQXT2ioEu7Bw3qEGuwbIwYuteDNkVoo/fJhu0zcHd9RNPBWnwHEFMy6sVpGtonB5\nMRjguutE4NTeLoKoujqRFbRCKJOsq5VAQPxcrEZ1aalIm+zuvnLn8MlPwj33wIsvwk03iTuH8XEh\n+uPjV+5zL5V0Gnp7RRphYyPs3y+W0Hu9MDJC06CPpow8uOEGuP122LdPPDeZxPzGAnjamjCpY+TU\nbRY53ZN14BeJ4EdCI+hUOjINK+PZKrxOJEncIe3bJwKElpbpAGcFUAR+tTIpJJZFFlZoNKKz0Ojo\ndCGp5ZJOi+MPDUFfH6RS87c5fRq+8AUh5F/6kohqqqrglltEpHPihBDOa4VUCj7wAZEu+M1vinzw\nggLhVb/yCpw8yaMnR3m4Ky1WVU4iSeIuye2GkycgMAa+QXB3wfAZNB3HCdiycBRP5JcPDoq5kAW6\n/8RSMdwR9+yqiQpvTDIyRMtAvV78rp89O91w/SqiWDSrFb9fiMgiVgAg/Pne3tnNny9EKgUvvzw7\n1dLtFsI4k3/5l9n/fughePJJcU5btogI+ZVXhK1RUyP+IFaSn/8cvvMd8fxHP4KPfhQ2bRJ540ND\npMIR/mBNkOVd4I+0MAdGVHD0GWiUwG4BixmSMqP+NENlu5HUGjGghUJioFuA0dDoJa1YVbhG0WrF\n79Dhw8IuzctbsljblUAR+NWKz7d49D7JZO6u2718ge/vFyJVXy/2Hx4Wy9yLi6drrZw+Db/6FQ/d\n/D5ygh4+cPQpeOop8XpDg9jvhuuh9TSc74DuVigsgDXlkF0Mmis0ubgYnZ3wta/Nfm3mgFRWxog3\ngl/dhd47hjzajJSKizuZVAyiPsjRCP/VD4RiEImDSs1+dYLs6lpxzIEBYdMUzPfX03Ka4dAwNr3t\nijWnUFgBcnLg5ptFoLUCZReU+8DVyGRThgtlyBgMIpNieHh5Nk06DWeOQHoczFFIeaDQLm5Dz52b\n3u6hhwhqDfQ4CnmlfPOs1wGx4GfoGBg9UGUCYxCaXoVf/Q8c/SUMn4bg2MVbR5fC2Bj89rfEjxzl\nH+/8O04U1ojXJwekCfrcYSqkYTamWwmM9kAsAMkoSGrIXguVN8GGW2DPLXD7XXDX3bh37OFlSxlr\n8zLEdzc4KP5P5tgzaTlNs6uZSDJCiaXkyl+zwtXFbF6xmjpKBL8a6egArZZoYTHatIx6bt3vmVRX\ni+yQpqYLZ1ac+D0MtkJDHXj7QZ7w3jN1MOwRE0qJBDz1FIPZpYR0RroyZxTUeuopOHUSMmOQiED+\nRtAaoUoFsTgcPAjjQcgZA/8Q6C1gzgWjQzzUV+DX9exZeOIJvnrdO3h8420YEzF0yQRvf9fnefbh\nL1H2vz8AYGR0mEppiBE5kz7HLupLLtCaTavl2JhYSLSt3CEGknhczHvMIC2naXG34I66qXZUX/EG\nFQp/XCgR/Coj6fNz5ngbn2kK0/AfL/DeHx5jLBBbfIeSEuEJ9/QsnlGTSoCrEzqaIb+KxI4/Q66+\nDapuBVsxZMTAIsO5dpE5A4xkZDFoy8WXYcFvM0OeCsrU8OW/h8g45NeDrQhMmWC0gz0XKmpAtkPp\n9ZC/AZDA0w2Dx+H8S0L0k0tcy8Xi90NTE22tvXxz958D0JxXyfHiOiI6AyfP9orBL+whOXCSGDra\n5FIG/YllHf7IeQ96jYoNRXYRvet006UCJugY78AVcVHtqKYoY2UWwyisXpQIfhVxpNvNVx95HO3o\nCE3rtnNTTS7PNo+w/T/288W3N/C2rYuUp62tFb56c7Pw7XNyIBkH1zmIeCAeEnZJQkNs3QZq/ulZ\nPnRTFR/7kxrIXS+Oke6FnlY49RqYoG1NBVn2AGulQZx1OVjHBiAiw6FmKNoGGTnzz6OgQPjhIyNi\nubetWCztj3rB2SqsGxDRfPZa8fP1lFoYHCTxs5/zsbs+QlbIy57e0zy3dje1Yz0YiOErs4gB6cFP\nMOaP0KWtIRVT81yTSJk81OXm3GiAR/58E7fO6b0pyzJHuj1sLrWjYyKvvqRk1q16LBVjJDRCUUaR\nIu4KVwQlgl9FPPlaB5keJ+97540c/PSdfOsvt/LT9+0E4GCna/EdJUlkweh0IvURYKwN/IOgNQsx\nzaxHtlfw4kgcgP96sVNsp1KJaLtir8g4ufdmqDDhrbBTEh2lV86jKVkO3UkY18MDH1tY3EFM9Doc\nwmJKp8Vrag2Ys6FsDxTvEOcSC0L/Eeh6AUabxWC0EJGIqNy4kJcfj0NvL08ks2kqqOazz32d3X1n\nCeuMHK7cwHZVO94cKxxtYty6jm/3FbKtthyAp04O8o2XukikZfKsBj702AkGvZFZh//16SFahv38\nyfp8MR+SSs2bExkJjSAjK+KucMVQIvhVRPBcN5VZJvbesRM0Yuy+riqbW9flcWrgAjnn6omGFOPj\nYgLRPwiOCsidzgD5xkudfEOOgd6ETq0inkyjm/gcjHbYdjdsupVeT4hHv/wK919fw0tH+jj64Fe5\nZ0ZfyrFAjKZBHzfV5s4/j7Vr4cgRMfE7069WqcCcJR72MgiNQXAEfAMQ9kDRVtDNyD5JJEQ6ZyIh\n9t26dbbAdnUx7g/zhevu40/PvcatXUdpyq2gADe5Dj8SMs8Zd3LzO7fxmV8PE0hI/N0t1VgNGrRq\nFR+9fS1Wg5YeV4gbv/gSz5wZ4i93lfPkiQEebxzgdL+XhmIbf7mrDPp6xWfOyGqKJqP0+fvINGQq\nWTMKV4wLRvCSJP23JElOSZKaZrz2M0mSTk08eiRJOrXUMRSuPLIs4xl2kZmbOS/3fVOJje6xEL7I\nBbxjh0OsgHWeE9khmTOWWPt8dLgihHRG7t5YQDyVpnlozgo9SQKtge8dGial0vHA3gp2VWbxm9ND\nfPTnp+gYFatrv7T/HA/84Bg/PNgz/xxyckR2z/Dw/PficSHYag1YC6Bws7B7kjHoPQhR//S2vb1i\n27IykcXQ1DR9V5BOQ18f/9MdxW+08In/+jCMtrDule+w2zyIijTn1GtpsVfypmA1bSMB/v2eeqpy\nM/iPt27gX9+8HqtBZMKUZ5upL7LyzNkRPviTRv7pl01E4yn+6e51/Oi9O9GoJ3qwarWzcqC7fF0A\nVDuql/4/UVB4HSzHovkBcMfMF2RZ/gtZljfJsrwJeBJ46gqcm8JFMBaMQThETsH8Je4NJSLH/TsH\nugjGkosfxOGARBQGO8FeApoZVQZdLtwaI/fvqeDTf1oHQGPv/HIDnlCcxxv7eevmIvKsBm5Ym40/\nmuSpE4N88qmzyLJMr1ssknr4d61E4nNWwUqSiLSdztkrZLu7RT37AweE7TKJOQvKdosovf+o8Oo7\njsKx50EXh9o1wjqKROC118TE6ugoLT1O9g+N8q8bXJQEToG3D7XZwZ4b7+K19Abu3llHSaaRj9y6\nllc+cRPv2lnGYrxpYyGn+7282D7G/7lrHc/+/fW87/pKbMaJdMhAYNZCrlgqhivsojCjEKNmiYVo\nCgqvkwtaNLIsH5AkqXyh9yRRi/TPgZsv72kpXCzdziDGRIyCwvlpdtvLM7m+Opuvv9jFjw718q6d\nZTywp5w865xVdTYbjPcIj9wxo+NQIEBi3Mt5nY3tZh15VgPFDiPHe8Z53/WzD/GjQz1EE2nef4OI\n/m+oFn67JIkB4Venhuhyhsiz6hn1x3i108VtcyYoKSwUWT39/WJRVHe3eJ6bKyykU6fEoqJJdGYo\n2Sn8+MF20o3NvNztwbBdw+7zB8BaCJs2Qms7HDjAWDDCM4cOU19bytt3VkFWKWTkgVrLvYUy1RVl\n1Bfa+OeJgexCvGdvBXqNClcwznv3Vswv0RsMilWME/T5+5CRKTBf/RZuCn9cvF4P/npgVJbljstx\nMgqXTu+AB5Wcpqh4vsAbtGp+/N6dnOwb53uvnOc7B7p47Ggf+z+6jxzLjFWjgX7Qy4ADtAZhZYyN\nQVcXoXgKZ0YWDrOI6reVOXity40sy0iSRGOvh++/ep79rU5uqc2dai5cnm3mp+/bycYSO+/87mE+\n80wLrmCcj92+lm+/3M3+ltH5Ap+VJYS9uVmcg0olKvLV1Qnhb2oSWSkzPXWdGXI2Irf5+MlADp+N\n1rJxKJPdewvBcx50PqjNgvYOmg4epyc3i4+/4+3oy2dX+pMkiY3FF1fpUqtWcf+eRVrwRSIQixE1\nahkPDjMeG8cZdlKUUaR47wpXnNebRXMf8NhSG0iS9H5Jko5LknR8bGzsdX6cwmK4xzxIQG7+4gtw\nNpc6+Pq7tvD0h/cSjCX58v6J1aepBIycFWmRJWsgoRHdoPbvF5UVAwFcJZXENVqyJgR+a3kmY4EY\n/R6RPfKjQ7389uwI8eR09D7JdVXZZOg1/Oub1+MKioyX9UU29tXk8HzbKKn0Alku69cLy2j9elG5\ncf16cRsw6akfOyYWKSVnWE4tLTxzvJfP++zo7RaanXHk7LVQvH0izdMPVUUcX7OJ8zm7KJsj7hfE\n5xN2i88n0jmPH4cXXhDVMiORBXcJtJ/BGXFxlD7ax9vxRr0UmAtYY19zcZ+toHAJXHIEL0mSBrgX\n2LrUdrIsfwf4DsC2bduuwtrzP07CHj8mvQa15cJFu9YXiuyOHxzs4bq8FHfnukS+uaNCZNIcPSYE\nVKuFHTsgJ4fRbg8wSOakwJc6AGjs81CaZaLHLXzxD964hh0VC5e63VLq4M+2FPPkiQFq8y3cVpfH\nb84Mc6rfy9Yyx+yN7fbZNswkKpUo0dvWJtoPjozAnj1i5ejBZr7WGePW29eypdTOP/+qmSFflCJ7\nFlTumzrEa1EVmY4lfvVjMWEL5eVN1+uJT6y0TaenJ2vNZlGOeWREVMusrwcglU4xHhunb6wDzZkD\nxLMd2B2FVNmrlKhd4aryeiyaW4E2WZYHLtfJKFw6EX+ADL122dXqHryrltO9Ll4+8AJ3v2MHFG8E\ng1VEuqWlogzw5s1T3rEnJCLvSYGvybeQoddwvGecP91YSOuwn7++voKP31G75Oc+9Jb1vHVzEQU2\nIzeuzUWjktjfOjpf4JdCoxFiWlQkRLejAywWDneOIZVW8fm3beRUv0gLPTcSoMg+eyJz0Bvh5poF\nUjRBTMJO1oDv7BTfZ0GB8NFTKZHlY7GI1b+Tre5OnYLeXvyJIAPaEL5UiJQkYx1wUWwqRLP7Viz2\nS2ucraDwelhOmuRjwCGgRpKkAUmS3jvx1ju4gD2jcPWI+IPoMozLXtmp16jZV5AgFIlAbp0QdxD7\nNzTQs3Uv/+/zQ3Q6RWrjXIFXqyQ2l9pp7B2n0xkknkxTX2Rb8LNmYtZr2Fst5glsJi07KjLZ3zJ6\nsZcrcDiEZdPfj9zWRmNEQ926UrRqFWsn5gDaJ1IzJ4klU4wFYhTaF8heaW8XufN+vyhpvHmzuJPo\n7RVNqtevh507xVzAzD6mtbW4LWr6Tr+E6vgJylqGaegIUZ/MJrNhF1ZHgSLuCivCcrJo7lvk9fsv\n+9koXDKRQASrxbz8HWSZcpWTg3E9EY2NuXL3ZJOTZ84Oc+DcGF+9bzPuUBxJArtxuhLi1jIHX3m+\ngyPdbkBYPwuSSIi2dtnZIhqeIXa3rsvjod+00OMKUZ69+Pl/6+UuookUf3/r2tlvrF0LoRCu/hGO\nmIv41ERKqM2kJd9qoHXYP2vz4Yl67kWOOVfc1ibuBEpKZgt4cbGI3GVZ3DnMvbRUgnOhLsYqDNiq\nbqHGVIk2LYl9zOYlm2srKFxplJWsq4R4IIQhb5G0O69XiM3MMrWhMbL0KXrlPFzBGCWZs4XocLeb\nqtwMdGoV7/nhMUocJmxGrVi4M8HWMgeyDE+fGUYlQWnmAmIWiQgLw+USkbDZLCpYloiyuLfVCYHf\n3zrK+66fnvT0RxP8+FAvA+NhelxhDk0MIjV5Fu7cMOM6dTrYuZOjxmEix09M5fwD1BdZOdXv5SM/\nO8VfX19JXaF1qqRAoX2GldXVJcS9rAw2bpx/DWr11FNZlnFH3fjjfiKJCN6Yl5ScosJWQamlVInU\nFa4plFo0q4R4MITZusAEq9stOift3y+EdnRUTBK6O7GYM3Bixzmn2mQknuJUv5db1uXyxAd2c2d9\nPn2e8JQ9M8naPGGDnOwbJ89qmC5bMHVScWF5uN2is8327WKQOXVKNL8ASjJN1OZb+MMcm+ZnR/v5\nwnPt/L55lEAswd/sq6Qy28z/HOld8PqfOjGA1aChNn+6B219kY1ed5hfnBzkiUbxeecmLJti+8Rg\nNDAgyhwXFl6wXLIn6uH46HGaXE30+/sJJoLY9Xa25G6hzFqmiLvCNYcSwa8CIuEY6WQSk20Bi+Ps\nWWETZGaKbI++Poi6wRDBuHYfMj24grMF/syAl0RKZmdFJiadhv+6bwvfLzmPRj1bwHItekw6NeF4\niuK5lgeIScpkUmS9TDb/zssTE6MnT4qIfuNGbl2Xxzdf7mI8FJ/Ksz/QMUZ1bgZ/+Oh09svAeISW\nIf+8j2ns9fB8m5NP3FE7a5Cpn2EZNfaN09jr4T+fbWNDkW3aomlrE17+5s1Lzl+0e9oZDg1j1Bip\ny6oj25it9E1VuOZRBH4VMD4uotKMuRF8OCzytjdsEI2hw15oP8T+F37FCyd/xy8cRjD/hLf97wME\nNc8CYNKaeMeaLwKllGaKAUOlkvjrG+bnjEuSRFmWmdZhP8WOBeyZvj4RGVutM3cSkXxvL3R38/g3\nP8xPhg6R0v9fSj53ByHNi0iyjuLoY0R1+/ncq4f45F5RY77QZmB/y+jU4qpJXulwIUnw7t2zywnM\nnPRtHvTxwKPHKLAZefSB7aIJSiAgLKTq6gU77siyjDfmZSg0xFh4jBJLCRW2CkXYFd4wKAK/CvBN\nCLzFMUfgxydqxTgc4GwTZQgsWj6WfA2VOU6lO8l5bQSvZjpFMZwI87v219BRSk7GhXujVmSbJgR+\nTgQfConJ1ewFOhTpdAwXZDCst/L9535DhdtPpeoPnMivQ63SYU7ciQoNAY7wyKEnpgS+wGYklkwz\nHk7MsovOjQYozzJj1s/+dc6z6vnwzVWoJImvPN+BUafmR+/ZQfbkdTmd4mfu/JRJT9RDm6eNeCqO\nWlJTaiml0n6RC6MUFFYYReBXAf4Jgbfa5zTZHh8XE4SqGIyfB2sR5K6jqmIfTwefJDeUZo2rldGS\n2UvzSy3rccckrMYFfj3SaVHwKxQCjYYbBkY4GlLPF3jfRKVJ2/zMGl/Mx7nxcxi1RlTbd9DU9DLb\nBk9x81AlZ4p34szoJaz6Bcgt7C65nfHoOBnajKmJ0SFvZJbAt48ERN/TOUiSxD/cXkMknsIZiPKe\nPYd8N2QAACAASURBVBWzJ5MHB8XdxZzqm96olyZXE0aNkSp7FVmGLNQqNQoKbzSUe81VQNAjFvXY\ns+eIqcczUQJ4ENRayKsHtZZ/vuGfiWugzwb2yDD6VCnq9HQUuz5rF1lm/cKThqOjwtooLITCQvLs\nJhqGz1EuzWml5/UK22NGDXRZlgnGg7S4W9Br9GzO28zDNz1Mhy7M7woDRJOlFAyHGZa/hV8+jEaj\n4Z66ezg9dppDw4dwp5pRmzo5PtSEK+IinAgTiSf5/9s78+i4s+rOf17tqlX7YkmWJcuLvMnudu97\nNzTQhA50OoTOzEn3ZAgThoGQkJNhSSADTFiykAwkOUMGDyQnQ4BgCCGBhIaGple33W67vcirJGsv\nlVQqqfbtzR+vbJVkyZJsyXbJ93NOnar61W95V8v3d+u+++7tGYuzqW7WzQ3M5O7QEGUjg3zmbR1s\nKN5ndNTchFpn1pCZSk9xbOwYLquLnbU7qXXXirgLJYt48KuAyOgECZuTGn+Rd6q1EeK1TaYxRmC6\nXVxnfSePdTzGc9G95NUAdfG7cbCHrBpmS/ur6LyXKm9yzmtlu88Q1lFyG+qpKqtmR3Mbdw+Os3Nq\nEHS7ibHn8yYt0ucDi4V0Ls2J8RMXUgotykJnTSd2i/3CWL5z7Pv0+R6jPvJjLMkEKTs8sv4Rntjy\nBIlsglAihCUfRedddE8McSRkatsfHZhC24dprZ1V+TEWgxdfnO7m1NAAu3dPf15YpZpb08BUcoKp\nzBSTqUlCiRB2q52t1VuxW+wIQikjAr8KmAiOg9dLwF2c5x4zQqsSoPOmwXURH7/34+w+speI7Xtk\ncvsZt99ERebX2ex9Jz2jqek4dRHp2CTdp15ioqWWRPgEKnySgDPAL//avTiPnTb1a7ZvhwMHIBIh\nu20LkcQYPZM9xDIx6j31+B1+yp3luGyuGWPZe3wvB2r+gAejsD4Mx2rhE/d9ApfNhcvmosJVwfqA\nxpYZZnK8jqNnbPzT4W5OjwXxlEWxuc8yHHMRcAawYsFy+DVsFouppTM6agT90CHYtMlMrIZCJDa2\ncWj0AMmsuZk5rA4avY20BFpE3IVVgQh8qaM1k6MT+KtnFfiaKizRz0+CwwuumeGbzvpOHt32GMH+\nvdRPDXK6YhCX8wlyOR+hqTAbameGPLL5LF2v/xhLPsOm7Q9h9fkJJUIMxYZ41TnJ2mYv1WfOoAZ7\nyOoc0W0b6HEMkwn1YbPYLqQWzsV5L37v8b2cC0BrGHbe9iid9Z0z9rNYFNubAnznoOn21NlUxSfe\n1MlDW8sZSZ6ha7wLtMZ79DTOoVHy27fS6IGqio2ofN6UGu7vR1utTOg4R12jWPIOtlVvw+/w47A6\n5hidIJQuIvClTjLJ+FSC8uZZxbqmpkwzapsC/9ylaT9+78e5/9W93N4Pd/RDYEeAkUiSUCxNtXda\n7PI6z5HQEfRAPy3N2wlUmW8DPoePJm8TpydO01sVJBjO4AgOM7V9IzlXFK/VS0dVB+XO8gVTC897\n8V3V0DQJf9Dy5MwdMhl4+WX+YYeVF+6/mcYqz4Wa8wCN/puYTE+SPrgfy5Sd1M47Odfg4kjoCC6b\nizXNa6BqPbmuY8SDA4xva8Pl9LCtept0VRJWLSLwJY6emmIsmmJd3RwevCUNVjd4566c2Fnfye+9\n9Y/4u5/+BX/ofDMjE4N8bQLSWaj2OtFaM5oYpXeyl1hqik4qCDTOvFnYrXY6qjpor2hnqmY7eZ3H\naXXisDpwWByLXt3ZWd/JHz34R3xx3xf55fveweaU18TPlTLP+/fDxAR2rbnPUwa1O2ccr5QiMDAG\no3HYfht0dFCv84QSIQaiA5yNnAXAsbEe79Z2OrxrqHJVyepTYVUjAl/iRILjJLN5ahqKGn3k8yaD\nxpYBmwucc2SYFPjIPR/hI/d8BMbG+NYXv0lgoI9QVTN+T559w/tIZBNm9aa1kQpHzGTlzIHdYqfS\nNXcd+MVyYSzDwyaePzxs0iyPHzeTtjt3mrmFU6fMitiGWbV3enrMit2ODgAsykKtu5Zady3JbBKb\nxYbNIn/ywo2D/LWXOMGBUdJWO2vqinLZe3rMKtZ6N3hqFneiqio8NZX4z5iaLa6yMdK5NFurtlJd\nVo3q7jb7lS+tnd1lUVdnmlQfPmxCM0qZydHmZlOlcWjIePQVFaaaZG2tKfEbi8H6ucNRxZO6gnCj\nIHnwJc4rr/cSdbjZVF/w0nM5kzHidUC5Z/ECD/jrqvCnYqDS+DxxGr2N1LhrTBgjHDbNLxbZUOSK\nUMp44bmcKbHw0ENGyMEs3LrvPlP1MZmEl182JRF6ekwa6GyvXhBuYMSDL2H6x2P87JUz3H7LNlqq\nCoXGenpMy7mNNaAi4J6/R+tsytfUYstn8Fi6cdhupdFXSK3U2oRI5ljSv2LU18Mjj8z9mcViSvs2\nN8NLL5n0RzA3A4dkwgjCecSDL1G01nz6H/ZhU5on31yoYZ7NGu+93AfWKJRVgnXx9/DqplqUNcr9\nDZqNFRtxWgu58JGIKf17NQV+MVgsJi5fVWXKDWzYcK1HJAjXFeLBlyjfPzxE7/4j/PZNzdS3m+YZ\n9PZCIg71OdAOqO1Y0jkD9T7eeXcFjVuaqHUXxFxrEwIB04/0esPtnrs5tyAIIvClyEQ8zee+vZ+H\nHXEeessD03Hx8XFIDoGrDdbsAuccDUDmIZ6Jc2TsKLVtDaxPF8I94bCpJx+JmNZ1Ev4QhJJCBL4E\n+ewPuqjs7+HJB9qwbiwKSwydMpUj67eBZ/Gx99H4KF3jXSil2LzxDlxd3SYVsavL3DxuvtkUFxME\noaQQgS9Bnn75FO+rhZZbtoOzqGbM2AA0N0GgadHn6p3spTvSjd/hZ0vVFlw5BafOGXH3euGee+Zs\nNi0IwvWPTLKWGOlsnjUj56gMeGbmfE+FIRmD6sb5D55FJpehd7KX6rJqdtbuNLniTids3mx22LRJ\nxF0QShj57y0xpuIpqmMT5Ju3mgbW5wkWmlHXrF30uQaiA+R1nrZA28xaMW1tZrGRZ44er4IglAzi\nwZcY0bEJFBpH1aySAaN9YHNCZd2izqO1Zig2RIWrArd9jn6qIu6CUPKIwJcY8ZDp3uSqLCoZkM9B\neBjcFYteaTqZniSVS1HnXtwNQRCE0kMEvsRIjk+gUbiLBT4WgkQSyuvMMv9FMBwbxqIs1JRdh7nt\ngiAsCwsKvFJqj1IqqJQ6Mmv7+5VSXUqpo0qpz6/cEIViEuEICbsLn7soJz3SB5k8lC9upWle5xlN\njFJTViP9RgVhFbMYD/6rwJuLNyilHgB+EejUWm8F/mT5hyZchNZkxsaJOsrwuwoTrKkoxEbBGlh0\n3HwkNkI2n6XOI+EZQVjNLCjwWutngfFZm98LfFZrnSrsE1yBsZU+x4/DwMDynW9sjHQ0zqinAp/L\nZjo2DR0CrGD1mWX7lyCXz3EqfIoT4RN47V4qnHPXdhcEYXVwuTH4jcA9SqmXlVI/U0rdspyDWhWE\nw6bw17FjpgHHctDbSyyvCHor8GZGoedZSE1B+QawOUzBrXmYTE9yYOQAA9EBmrxN7KrdJd2MBGGV\nc7l58DagErgduAX4plKqTWutZ++olHoP8B6AtWsXn6Nd0mhtVoIqZWqWDw6aWi6LIZczZQKam03I\nJZczzTtSKRgaYthfw654P/YRu2mk3bQNomlz7DwCn8gmeC34GnaLnc6aTipc4rkLwo3A5Qp8P7C3\nIOj7lFJ5oBoYnb2j1vrLwJcBdu/efdENYFVy9Kipn75jh6nweOQI+P3msRDDw0bgT50yKY/J5PRn\n2TRxt6LFEYGqdvNQCoKFao/zhGhCiRB5naezpnPunHdBEFYllxui+S7wAIBSaiPgAELLNaiS5uxZ\n6O42ZQRaWuCWW0wXouefh9GL7n8XMzhonv1+U+d882a46SbY0A5VGcrSA2Qd5dPiDhCNmtro83jw\n48lx3Da3iLsg3GAs6MErpb4O3A9UK6X6gU8Ae4A9hdTJNPDkXOGZG45g0HjvDQ0XGj9TVgZ33w37\n9pn2cjt3zh+uiUTMOVpbYdu2mZ+NRkEFOHHcQ78nMDPffWrKFAabI6aezWeJpCI0ehdfo0YQhNXB\nggKvtX5ino/+4zKPpfQ5fdrEzXftmim2ZWWmKcX+/XDwoAm7tLfPPHZkBA4cMMW+2trMNq1NCmSk\nD6JBjsd9fLc7wj0bnDOPnZqCyso5hxRJRcjrvMTdBeEGRIqNLReJBIyNmQqM1jkWD9ntcNttRuCP\nHzfFvHyFRtlnzxrPv7wcbtoFKgUTIQidglwarHaoauc/fKMbMLp/gWzWXPv8uWYRToaxKAsBR2CZ\nDRYE4XpHBH4ZmExmeOYHB3jUplGNlwiFWCwm9DI4aPLjW1vh2CHoOgzlZdDgg/6fT+9fVgEV28BT\nQx5FJHkKpeCDbyhq8hGNmuf5BD4Vxu/wy4pVQbgBEYFfBj73gy6OfHcfbW9oZftCq0mdTqioMFky\n+38KU8PQXA/tdeDygasJnD7jtZdVXAj1DE8kyOU1n377NnavKwrHTE2Z5zkEPp1LE8vEaA20LpOl\ngiCUEiLwy0Aqk6MiMUW/1c32xRzQ1gaHD0C1FbbcCdvvAfv8i5QAekIxAFqrZ91AzmfQzJEiOZEy\nlScl/i4INyZSTXKphEIwOTljUyMprDrHgHWRNdTXrIFta6C9DTofvCDuPz0R5PG/foFXemZXhoDu\nMSPw62YL/CUyaMLJMDaLDZ997vCNIAirG/Hgl4LW8OKL5vUjj1yYTPVExtEoTuvF1WInkzTZMZWt\nYLURiqb41PeP8U+vmRz4Pc91c0tRGObvXurlD75rink2+GddY2rKTM7OQTgVptxZLiUJBOEGRQR+\nKUxMTL/+6U+NsAYCOAf7mHD5mIqkF3eeSB+gIdDEM11BPviN14ins/zWQxsITiXZ++oA0VQWr9PG\nyGTygrhvafBjsRSJ9fkyBs3NF10ikU2QzCZp8i6+AbcgCKsLEfilECwUzdyyBcbHjeAPDpKJJwh6\nK0iG4gufI5uGcA99aR+vn5jkr356mgq3nW+/9w7aa33s6x7n6/v6eO7UKG/e1sAXfnQSu1Xxrd+8\nkzXls7z38UIoZ44J1omkuRlVuubOjxcEYfVTOgKv9aK7Fa0YY2PGa1+/3jwAxscZOTjBSN5HJpqi\nbzxOLq/5zA+O01ju5vff2jHtdadjMPAq5HP8yt4xBhMR3A4r79zdTHutEekdTQEsCo4PTdFW4+Wb\n+/t48s517GyeFYbR2lSqLCuD2osbfYwnx3FYHVKeQBBuYEpD4INdEAtC673XdhzxuKkPU0xlJV2N\nG6kORhmdSvHevz/AyRGTm57O5jk5MsUnf3ErbWVxGDpsjmnazWDiZXPKdI71NdMTpy67lXVVHk6O\nTHH4XyfwOG184MENXERvr5ns3b37ooVVfZN9jCZGJTwjCDc4pZFFY3MY7zebunZj0NqUGJgjHTGa\nytJe6+XRnWs4MjDJW7bV89zvPcDHHungUN8Ef/y9/cZzt5dBy53gqaaxfDotsq3GO+N8G+t8/ODI\nMM+cGOV9D7RT4XHMvGAmY8oRV1WZujdF9E72ciZyhlp3LevL1y+f/YIglBylIfCuQngiMXHp/VaS\nZNKI/BwVG+OpHB6HjU+/fRv//tv38hfv2kWt38Vv3NvGk3eu4/TpE/zutw5x1LIRHOYGUe2dFu22\nmpmpjxvrTbjG57Tx1J3rLh5LV5cpUTCrINlwbJjuSDe17lo6Kjske0YQbnBKR+CVBZLXUOATCfM8\nh8BHU1ncTituh42NdTMnPH9ldyNr1BhdMTffODhyYXssnQPA7bBSPyv1sbnCXOOtOxpw2WeVGMjn\n4dw5kzkzq778QHQAj90j4i4IAlAqAm+xgNMPifDVu+ZnPmMWJH3mM+Z9PE48nSVqsV+0ayxtUhrn\notkZ548f66CldQM/6QpyvqryVDIDwKOday4S40e2N/D+B9v52Fs7Lj5hNGpEvrp6xuZkNslUeoo6\nd52IuyAIQKkIPEBZOSQjy9ff9FIcOgQf/SgMDZnnQ4cgkeD9Xz/II19+5aLd46kcbsc889VTw9QG\nfNy1YzP94QSngmYCdjKR5TfuaeWzv7TjokM8ThsfengTPtfFNxMiEfMcmFkdMhg3KZzVZdWzjxAE\n4QaldATeVQ46D6nJhfe9Uj75yYveh4ITpK12zs1azJTO5knn8nidc1RrzGUhGgRvDQ901AHwk64g\nmVyeRCaHfy4BX4hIxGTNFBU1y+az9E31UeGqkLRIQRAuUDoCX1YomLXSYZpDh2DvXiYdbvbc/CgZ\nixX27uWVZw+Ssjku2j2ezgLM7cFP9EI+A+UtNATK2NLg5yfHg0wlzTE+12VkqUYiJvZeFIbpn+on\nk89I1UhBEGZQOgJvd4HNtfITrQXv/WdtN/PJN7yH73XcB8DRfcdIWe14HDM99WjKiPVFMfh8DsLd\n4K424SXgwc21HDgXpm/crHj1ly3Rg0+nIRye0b0pk8/QN9VHdVk1fscimnoLgnDDUDoCD0YoVzJV\nsuC9AyTspi3ent2PooFgMk/aZieWzpHJTc8DxFKFbJjZIZqJc5DLQNV0LvqDHbXk8prvHzZFxeaM\nsV+KgQGTqlnU07Vvso+czon3LgjCRZTGStbzuMpNg4xM0nj0y82nPnXh5flwzNH6dl5s3kakzIe1\nUHIgkshQ7TU3gFghROM578Hn8zB2CsYL3rt72tvubCqn0uPgu4Wqkf75QjQjI6YpyMSEWdSUyZhM\nojNnTHjG7yeXzxGMB+mP9lPnrsNjX2SpYkEQbhhKS+DPx+GTE2CvX/7zP/vshZfnBd6dTvC5+56i\nOhFhQ6iPI9WtTMSnBT5aiKd7HDZIRWHwIKSjEGiCms0zTm+1KO7fWMPegwPAPCGasTHYt2/u8dnt\n6Jtv5txk74W4u8fuEe9dEIQ5Ka0QjdNvFjyt1ETr7/zOhVIEyYLA/+prP6S7yoREOtrNTSWSmM6k\nOTNq0h5bqtwQPG7KKTTuhvrt0NsHw8MzLvGmbdM3pjknWUdHzbPHA7t2wYMPwsMPk7//Pvp2t3Mw\n3U13pBu/w8/Omp3cUn8LLtsKfJsRBKHkKS2Bt1hMmGalBP7DH4ZYDLQm+YlPYlHw63u/iEsbL33r\nu94GwEQ8c+GQo4OTVHud1DozEA+ZJh7eGrPy9ehReOUVs/J0ZARyOd5QSJeEeTz4UMiEZx580MTa\nPR5ydhuvxU9zJtFPTufYULGB7TXbKXfN3ehDEAQBSi1EAyZMM37W5JhbV274qWwOl93KmvIy3rK+\nnMSEg+Z6I6hfe7GXTE7z8JY6jgxE2NboR4V7zbeLQKH5Rn+/eXY6zeQtQHk51ltv5fOP7+Bb+/vw\nzk6tjERM3L29Ha01Y8kxxhJjjCXHSOfSdFR2UOepQxAEYTGUnsC7K2H8jInDe1Zu1WYyk8dpM19w\nPvJgG8m6JKrc1Jl59uQoz54cZUOtl7OhGA9vqoLJAfA1mMqXqRR0d5tqj3fcYeLqiQQcPgzPP887\nb7+dd+6e1YUpFDLevstFfm0zp8InGYoNYVVWKl2V1HnqZJWqIAhLovQEvqwCUDByFLx14K4y25bZ\nmz/vwQO40glcFT7y7umFTv/tgXaePj5CLq+5oyYJOgcV60wWzf7909UelZquG+PxmAnU55+H++8H\neyFEMzwMBw6Ax0Oos53j46+S0zmafc20BlqxqNKKpAmCcH2woCoqpfYAvwAEtdbbCtv+EPgNoDAj\nyEe11v+6UoOcgcUKDTtgos+sFA13A8rkyLurzMNVbuL1V8AFDz6fN/HzhoYZ/VB/6w0b+J03buRs\nKMb6xOugfeDym7j7+DjcdNNF1R6prIRbbzUCPzQEa9eS7ztH7JXnibhgsDVAPHoan8NHi7+FKleV\nFA4TBOGyWYzb+1XgS8Dfztr+Ba31nyz7iBaDf4155HNmwjU+DvExGDsDY6dNLLys0kx4XmYYJ5kp\nePDBoPHGGxsvfFbhtmO3mhtIe4UVwhNQvdF44mfPQmvrjP1nUFlpPPlDh4iGBhg48gIxv4volg4C\nbh9rXFXUe+qxWUrvy5UgCNcXC6qI1vpZpdS6lR/KZWCxGgE/L+K5TEHwx8yCqMHXoO3+ywrfpLJ5\nnHYrDA6Cw3GhVd8rH3sDLnvRt4PRE+aG4muAA4eMeG/ZcumTr1tH/sjr9B99gUzAR/MDb6PSW4vV\nMkfBMkEQhMvkStzE9yulfg3YD3xIaz1n7qJS6j3AewDWrl17BZdbBFY7eGvNw78Gel+AcA9Uty/5\nVMlMDpdFG6+8qelCyKfGZxY4kU2ZvPepIahqB2xmMrW9feHwUFsbAxWK4WiAHTU7qHRVXnp/QRCE\ny+ByA9V/DbQBO4Eh4E/n21Fr/WWt9W6t9e6amprLvNxl4AqYSdhwt/Hsl0gqm6cuHoFc7uJwy0Qf\ndD8L0REj7pXrTShHa6hfeIVtXufpSwxR7iwXcRcEYcW4LIHXWo9orXNa6zzwN8CtyzusZaJ6A+Sz\nJm9+iSQzOeqmQuByzajeSCwEI0fMDWTd3eYaFotJc3Q4oHzhxUfBeJB0Ls1a/wp/oxEE4YbmsgRe\nKdVQ9PYdwJHlGc4y4/SZ2Hi414RUlkA2laYqHjFt+85nsmTTMHQIHF5TjsBRVOArHDYrUBdAa825\nyXN47B7x3gVBWFEWFHil1NeBF4FNSql+pdR/Bj6vlHpdKXUYeAD47RUe5+VTvcF0glqiF++KhHEo\noKHoXhY8Zr4RNHTOjLOn06ZXauXCgt031Uc8G2etT7x3QRBWlsVk0Twxx+avrMBYVgaHBwKNpj57\nWaXJuFlEtopOJrGXqenWeLmMibn3RSE3AB1FOe7j4+b5Eh58Np/lZPgkwXiQ6rJqat21V2KVIAjC\ngtwYydZV7UacB181KY3uauOFXyp9MpnC4bWYuDqYbJl0GiYyED9tyhF4PKb65LlzpubMPAKfy+c4\nGDxIPBOnNdDKWt9aWcAkCMKKc2MIvL0M2h6ExDjERk3q5PhZqNk47yH5dBqL0zEdf58chHjOfCNw\nuczq1nRRA+5Nm+ZNjwynwsQyMSkWJgjCVaU0BD4UgnjcpCtaL3MxkMUyvSgqmzLpk4EmcLgv2jWT\ny2PNZrC6fIUNCbOAKuUAm4KHHjLny+VM7vvAAKxbN++lx5PjWJSFGvdVTBMVBOGGpzSqWA0MmJK7\nL754ZefJ5+H112F/D4xFYPT4nLulsnkc2Qw2l9OUQwidMh+kbSYMc95Tt1qhttY05nA45jwXQDgZ\npsJZIUXDBEG4qpSGB9/ZaeLdx4+bOuvV1SZMshD5PDzzjHm9aZOJlY+NQZkHekLg6Qd/E/hmhk2S\nmRyOfIYyawJ6fm48+PIW6D43Pem6SBLZBIlsgkbvPLVpBEEQVoiScCmz+SzRBlMLhoMH4YUXTHhk\nIfr6TGgnHjfHhcPG2777brPKtT8MwaOmeUgRqWye6lyEykw/KCs03waVG0zz6yUKfDhpKjhIzrsg\nCFebkvDgT0+cZiwxxl0bNsDkpJng/OEPwWa7+GG3m9CJzWa8/UDANN3o6jI1Zc5nuqxdC2fikE7A\n8CGo3gROLwDJdJba/DiWsnpoucuEZCIRc5z74pj9pQgnwzitTtz2pR0nCIJwpZSEwAccAYZjw8TX\nrzVCOTxscs+z2ZmPVMr0VD3/PhCAHTuM6G/fPvOktbUmZONoMJk10aBJnyxfS3oyjZ842UDDdLw9\nFjPPSxD4vM4TToWpKZPJVUEQrj6lIfDOAACRVMQIfH39oop6XZILq04D0LYVIv2mgcjgqzh7QwDk\nK5um94/HzfMSBD6cDJPNZ6kqq7qysQqCIFwGJRGDd9vd2C12IunI8p3U6TTx9PFxsDmhaj203g+N\nNzNhqeekbsbmL2oWEo+bTBnb4u+JwXgQm8Um8XdBEK4JJSHwYLz4SGoZBR5ME49QyIRzwIRjvLV0\nRz2ksLOmaZbALzE8E0qEqCmrkfRIQRCuCSWjPAFHgEQ2QSq3tKqQl2TtWiPufX0zNo8OhLDZrNTV\nFpUeSCSgrGzRpx5PjpPTOVncJAjCNaNkBN7vNMW9JlOTSzru7GiUaCo794cVFeZx4sR0lgwQGh7D\nX12BxVr040kmFy3weZ1nIDqA3WKnwrlwCWFBEISVoGQE3ufwYVGWJYVp4uksv/DF5/jzH528sG1w\nIsGf/vsJcnltNtx0k8myefFFmJgAIDw6TkVtUdw8kzGe/iIWV6VzaQ6PHiacDEtRMUEQriklI/AW\nZcHv8DOeHF/0MT8/FSKezrG/d7pd7J7nuvniT05zYnjKbHC74c47L4h8djREdHyS6jVFmS+JhHle\nwIOPZWLsH9nPZHqSjsoOmv3Nix6rIAjCclMyAg9Q464hno0TTUcXtf/Tx0YAODY4STqbR2vNvx0b\nBuBsqOgcZWUXRD78k2fJ5jX1jUX12pPJ6f0uwdmJs2it2VW7S6pGCoJwzSktgS+rQaEIJoKL2v/F\ns2P4nDbSuTxdw5McG5qkb9x442dHYzN3LiuDW28lnMzRF6ijvK3I+16EB5/OpRlPjlPvqcfn8C3J\nLkEQhJWgpATeYXWQzrg4FRpccF+tNSOTSR7YbDzxQ30T/NvRESwKAmV2zo7O8S3A7+fsTXdxsmYd\nVT7n9PZEwtSFdzovPqbASHwEjabec4ULsARBEJaJkljJCjAWTZHI5PjsPw8RTJ5l8o11/PJNG+bd\nPxzPkMlpdq0t52cnRzk2NMnBcxPsXleJw2rhbCg253GjsQwANd4iMY9ETKz+EhOmw7FhvHYvHvvS\nipEJgiCsFCXjwX/0O6/z1P99hd4RC5m85sP/8i+89xvfozvcTzwTv2j/4JSJm9f6XHQ0+PhJV5Cu\n4SnetLWe9TUezo7GiCQyFx0XmjJ59pWeQn33TAZGRy9ZGiGajhLLxMR7FwThuqIkPHitNQd6JVqi\nLQAAC91JREFUw4SiacDKh+55iJ6Jfr792ileD/byX+5dz/qacsqd5QScAcqd5QQnjVDX+p1saQjw\n0lmTffPwljp6xmL8/cvneHLPPr77vrtmXGsslqLCbcd2Pgd+eBi0hjVr5h3fQHQAi7JQ55aJVUEQ\nrh9KQuAHJhIFcTfsqG/ivXfv5NHNIT74zZf41HcmePe9Du7eZOq/ALw0GEHZI9T6nHQ0mEnPrWv8\nNFe6aa5085/uWsfXXui96FqhqTTVxeGZwUETnikvn3NsyWySkfgI9Z567Fb7MlotCIJwZZREiOZQ\n38zFTc0VpibMXe3V/PADb+Sulnb+6t9T7HnawUb/LjZXbiaWtGJxBvGVabasMatg37R1OoQSKLOT\nzuVJZ/Mzzh2KpqYF/nx4pqFh3rF1R7oBWOtbe8V2CoIgLCelIfD9E9itZoLTalE0lE+vKK3yOtnz\n1C38/ls7+NnJII/95X56RuyQasRts9EbPcWmOg+ff3wHT9217sJxHqf58hJPzyxjMBZLU+UtxN8v\nEZ7J6zw9kR5G4iM0eZtw2RbRQlAQBOEqUhIhmjvaqih329nzXA8uuwW7deZ9SSnFu+9p47bWKt7/\n9Vf51b95iUqPk0rPOiKpCKcmTvHO3R0zjvE4jOnRVJZy93TD7NBUkQc/T3gmlolxfOw40UyUWnct\nLf6WFbBaEAThyljQg1dK7VFKBZVSR+b47ENKKa2Uqp7r2OXigc21/Nf729nZXM62NYF599veFOD7\nH7iHt+9qJBRN0eitp8Xfwkh8hKHo0Ix9z3vwsdR0b9dkJsdUKkuNzzlveCaTy3AweJBULsW26m1s\nqdqC1WJdRmsFQRCWh8V48F8FvgT8bfFGpVQz8DBwbvmHNTdf+tVdC+7jddr4s3fu5G071lDjc7LO\n72cyPcnJ8EmCiSB+h59KVyVupxHlWFGI5nC/ifW3VXtMnXitLxL47slucvkcu+t3S867IAjXNQt6\n8FrrZ4G5Knx9Afg9QC/3oObDZbfisi/OW35gcy3bGgMopdhWtY1GbyPpXJreyV4OBg+SU0bMY0Wl\nhJ8+PoLDauGejTXT5Qm83gufR1IRBqODrPGuEXEXBOG657Ji8EqpXwQGtNaHSqEcrtVipb2iHYBM\nPsOh4CFOhM+CJXkhRJPLa350bITb11fhddpMgTGLxVSZxOTinwyfxGl10hpovWa2CIIgLJYlZ9Eo\npdzAR4GPL3L/9yil9iul9o+Oji71csuOPZZk66gVvwZr2TmmkmZB1F89c5ruUIzHby402k4mZ9R/\nH0uOEcvEaA20YrOUxNy0IAg3OJeTJrkeaAUOKaV6gCbgVaXUnOv0tdZf1lrv1lrvrqm5xu3rQiF4\n/nnKevq5+cQ4ZZk4wfgIL50d4wtPn+TtO9fwth2FmHsqdUHgs/ksZybO4LK5qHXXXuICgiAI1w9L\ndkW11q8DF1SuIPK7tdahZRzX8hGLQXe3Cbd0d4PHA7t3U/XSPrb1Bzkx1sNXfz7BuioPn37H9ukO\nTMkk+P0ksgm6xrtIZpN01nRKA21BEEqGBQVeKfV14H6gWinVD3xCa/2VlR7YspDPw3PPmZRHraG6\nGnbvBrsdx+aNeKM/40eHzpC3VvGVdz1uYu/nSSYZ9UDX8H4ANlduptw1d7kCQRCE65EFBV5r/cQC\nn69bttEsN8EgpNNw223gcIDfbzx5QJWX47K4cU/6WL/TStTSxVhiE1VlVWTSCfrHThH0VuFzbGVz\n5WZZqSoIQslRGrOFvb3m4fVCW5vxzMvLL4j1vAwNmSyY6uqL9w0EcNgt+KIOtlZ1YrdoXg+9ToWr\nguxUBGcmxtqaO6iv6ZTG2YIglCSlIfCZjGm6EYkY0c4XFQizWs3DYpl+bbWa5hzj49DSMveNwG5n\nXNvwpeJsqK7l5rom+qb6GI4NY0+kWOtbi79q3SWbfAiCIFzPlIbAt7dDays8/bQR923bTOgllzPv\nc7mLX+dy5rhNm+Y9bcjmpiIxSUuFC4uy0OJvMXVlMufAmTQTsoIgCCVKaQg8GK/89tvN68D89WiW\nwoC/hrroGK3xMYoSgyAaNV7/JZpsC4IgXO+UVs5fILBs4g4QdgeYcPmoG+wx6ZTnicWM9y7hGUEQ\nSpjSEvhl5tbWSo7VtmG1KHjlFcgW6tJEoxKeEQSh5CmdEM0K8P/efRvZvIaJcXj5ZTh4EG6+GeLx\nSzbZFgRBKAVuaA/eZrWY6pQ1NbBli+ng9NprZrJWPHhBEEqcG9qDn0Fbm0nD7O83NWjEgxcEocQR\ngS+ms9OIe2OjWfkqCIJQwojAF2OxQEfHwvsJgiCUADd0DF4QBGE1IwIvCIKwShGBFwRBWKWIwAuC\nIKxSROAFQRBWKSLwgiAIqxQReEEQhFWKCLwgCMIqRWmtr97FlBoFeq/aBS+faiB0rQexQqxm22D1\n2wer38bVbN/l2taita5Z6kFXVeBLBaXUfq317ms9jpVgNdsGq98+WP02rmb7rrZtEqIRBEFYpYjA\nC4IgrFJE4Ofmy9d6ACvIarYNVr99sPptXM32XVXbJAYvCIKwShEPXhAEYZVS8gKvlGpWSj2jlDqm\nlDqqlPqtwvZKpdSPlFKnCs8Vhe1Vhf2jSqkvzTqXQyn1ZaXUSaVUl1Lql+a55s1KqdeVUqeVUv9L\nKaUK23+zsP01pdRzSqktq8y+p5RSowX7XlNKvXuV2feFIttOKqUmrtS+69DGFqXUj5VSh5VSP1VK\nNZWgbf9TKdWnlIrO2n6vUupVpVRWKfX4ldi13PYppXxFf1uvKaVCSqk/n+ea8/3ulm6f1rqkH0AD\ncFPhtQ84CWwBPg98uLD9w8DnCq89wN3AbwJfmnWu/wF8uvDaAlTPc819wO2AAn4AvKWw3V+0z6PA\nD1eZfU/NPudqsm/WPu8H9qw2G4FvAU8WXj8I/F0J2nZ74brRWdvXATuAvwUev95+d7POewC4d4m/\nuyXbt2z/qNfLA/gn4I3ACaCh6Jd0YtZ+T83xB9YHeBbxC+8qev8E8L/n2O8J4Aeryb65zrma7Ju1\n3wvAG1ebjcBRoLnwWgGTpWTbrP2j82z/6mIF8GraV/TZxoKt6nL+PpdiX8mHaIpRSq0DdgEvA3Va\n66HCR8NA3QLHlhdefqrwNehbSqm5jmkE+ove9xe2nT/P+5RSZzB3+A9cjh2XGOM6rrF9wC8Vvj7+\no1Kq+TLMuNQY13Ht7UMp1QK0Aj9Zqg0LcR3YeAh4rPD6HYBPKVW1VDvmGd86Vt62a8aV2DeLdwHf\n0AW1nsWCf59LYdUIvFLKC3wb+KDWerL4s8IPcqF0IRvQBLygtb4JeBH4k6WOQ2v9l1rr9cB/B35/\nqcfPx3Vi3z8D67TW24EfAV9b4vHzcp3Yd553Af+otc5d5vFzcp3Y+LvAfUqpg8B9wABwxXZeJ7at\nGMtgXzHvAr6+jMObl1Uh8EopO+aH//da672FzSNKqYbC5w1AcIHTjAFx4Pzx3wJuUkpZiyZGPon5\nhyiemGoqbJvNPwBvvyyDZnG92Ke1HtNapwrb/w9w8xWaRmH814V9RSz7P+D1YqPWelBr/ZjWehfw\nscK2K5pMvsq2XXWWyb7z5+oEbFrrA4X3l6svi6LkBb4ww/wV4LjW+s+KPvoe8GTh9ZOY2Nm8FO7C\n/wzcX9j0EHBMa53TWu8sPD5e+Fo2qZS6vXDtXzt/bqXUhqJTvhU4dWXWXXf2NRSd8lHg+JVZd33Z\nVxjPZqAC40EuC9eTjUqpaqXU+f/7jwB7Ssm2Kxnr5bBc9hXxBEXOw1L/PpfMYgL11/MDM2OtgcPA\na4XHI0AV8GOMyD4NVBYd0wOMA1FMjGtLYXsL8GzhXD8G1s5zzd3AEeAM8CWmF4z9BWYS6zXgGWDr\nKrPvMwX7DhXs27ya7Ct89ofAZ1fx3+jjheudxHwLc5agbZ8vHJcvPP9hYfsthfcxzDeCo9fT767w\n2VkW+L+5xO9uyfbJSlZBEIRVSsmHaARBEIS5EYEXBEFYpYjAC4IgrFJE4AVBEFYpIvCCIAirFBF4\nQRCEVYoIvCAIwipFBF4QBGGV8v8B1HzURPme/O0AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x2c41358>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "atr = ta.abstract.ATR(data, 20)\n",
    "data['SMA20'] = ta.abstract.MA(data, 20)\n",
    "data['SMA5'] = ta.abstract.MA(data, 5)\n",
    "data['upperband20'] = data['SMA20'] + atr\n",
    "data['lowerband20'] = data['SMA20'] - atr\n",
    "data['upperband5'] = data['SMA5'] + atr\n",
    "data['lowerband5'] = data['SMA5'] - atr\n",
    "\n",
    "buy_time=[]\n",
    "buy_price=[]\n",
    "\n",
    "sell_time=[]\n",
    "sell_price=[]\n",
    "\n",
    "data = data.dropna()\n",
    "it = data.iterrows()\n",
    "t0, d0 = next(it)\n",
    "pos = 0\n",
    "\n",
    "for t1, d1 in it:\n",
    "    if pos == 0 and d1.close > d0.upperband5 and d1.close > d0.upperband20:\n",
    "        buy_time.append(t1)\n",
    "        buy_price.append(d1.close)\n",
    "        pos = 1\n",
    "    elif pos == 1 and (d1.close < d0.lowerband5 or d1.close < d0.lowerband20):\n",
    "        sell_time.append(t1)\n",
    "        sell_price.append(d1.close)\n",
    "        pos = 0\n",
    "    t0, d0 = t1, d1\n",
    "\n",
    "plt.plot(data['close'])\n",
    "plt.plot(data['upperband20'], alpha=0.3)\n",
    "plt.plot(data['lowerband20'], alpha=0.3)\n",
    "plt.plot(data['upperband5'], alpha=0.3,c='r')\n",
    "plt.plot(data['lowerband5'], alpha=0.3,c='r')\n",
    "\n",
    "plt.scatter(buy_time, buy_price, c='r', marker='^', linewidths=3)\n",
    "plt.scatter(sell_time, sell_price, c='g', marker='v', linewidths=3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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Dw8nrW/LZfuQUv7lmsH4GQwUsvaCID7z4aS4Op+H+yfomYKCZOT6dBoeTJ97d\nzb2vbWVLXhmTBiRz3ahmr1qiVEDQ4veyktN1rMjM57pRPUjvrKP9QHTHxN40OJz8/v29RIWH6a0U\nVcDT4veyJZ/lUm938sAUPbYfyGZP6kunuEjio8Lp1TnO6jhKtYsWvxeVVdXz2uZ8rh3Znb4p8VbH\nUe10w4VpVkdQyiP0zV0veunzXGoaHMydosf2lVL+Q4vfS05V1/PKpnyuHt6NAfpxfqWUH9Hi95Kl\nXxyiss7Og/pxfqWUn9Hi94KK2gaWfZHHD4emckHXDlbHUUqp79Hi94JXvjjE6Vo7D14+wOooSil1\nFi1+D6uss/PSF3lMvaALw3okWh1HKaXOosXvYa99mc+p6gYenKqjfaWUf9Li96DqejuLP8vl0oEp\njOqZZHUcpZRqlha/B72++TBlVfU8PFXP5FFK+S8tfg+pbXDw4sZcLu7fmTG9OlkdRymlWqTF7yEr\nMw9TWlmnZ/IopfyeFr8H1DY4WPjpQcb16cSEvp2tjqOUUufkVvGLyDQR2S8iOSLySDPzJ4tIuYhs\nd33Nc/e5weDNrQUcr6jjYT2TRykVAFq9OqeI2IAFwA+AAuArEXnXGLPnjEU/M8Zcc57PDVj1dicv\nrM/hwvQkJvbT0b5Syv+5M+IfB+QYY3KNMfXAG8B0N1+/Pc8NCKu+LuBoeS0PTR2gN+dQSgUEd4q/\nB3CkyeMC17QzTRSRHSLygYgMbeNzEZE5IpIlIlklJSVuxLJeg8PJgg05jExL5LKBKVbHUUopt3jq\nzd2vgXRjzAjgWeCdtr6AMWaRMSbDGJORkhIYJfrOtkKOlNXw4OU62ldKBQ53ir8Q6NnkcZpr2neM\nMRXGmErX92uACBFJdue5gcrucPL8hoMM6daBqYO7WB1HKaXc5k7xfwUMEJE+IhIJ3Ay823QBEekq\nriGviIxzve4Jd54bqN7bUUReaZUe21dKBZxWz+oxxthFZC7wEWADlhpjdovIva75C4EbgftExA7U\nADcbYwzQ7HO99LP4jMNpeHZdNoNSE7hySKrVcZRSqk3cutm66/DNmjOmLWzy/XPAc+4+N9B9sKuI\ngyVVPDdzNGFhOtpXSgUW/eRuGzmdhmfX5tC/SzxXDetmdRyllGozLf42+seeY+w/fpq5U/pj09G+\nUioAafG3gTGG+Wtz6JMcxzUjdLSvlApMWvxtsHZvMXuKKrh/cj/CbbrplFKBSdvLTcYY5q/Lpmen\nGK4b3expMtYcAAAKA0lEQVSHj5VSKiBo8bvp0wMl7Cgo54HJ/YnQ0b5SKoBpg7nBGMMza7PpkRTD\nDRemWR1HKaXaRYvfDV/knGDb4VPcO7kfkeG6yZRSgU1bzA3z12XTtUM0N2XoaF8pFfi0+FuxOfcE\nmXll/OyyvkSF26yOo5RS7abF34r5a7NJjo9ixrh0q6MopZRHaPGfQ9ahMjYdPMG9l/UlOkJH+0qp\n4KDFfw7z1+XQKS6SmeN1tK+UCh5a/C3YfuQUGw+UcM+kvsRGunURU6WUCgha/C14dm02SbER3HZR\nL6ujKKWUR2nxN2NXYTlr9xUz6+I+xEfpaF8pFVy0+Jvx7LpsEqLDuePi3lZHUUopj9PiP8Peogo+\n2n2cuy7uQ4foCKvjKKWUx2nxn+G5dTnER4Vzt472lVJBSou/iezjp1mzq4g7JvYiKTbS6jhKKeUV\nbhW/iEwTkf0ikiMijzQz/xYR2SEiO0Vkk4iMbDLvkGv6dhHJ8mR4T3tufQ4xETZmXdLX6ihKKeU1\nrZ6yIiI2YAHwA6AA+EpE3jXG7GmyWB5wmTHmpIhcBSwCxjeZP8UYU+rB3B6XW1LJ3785yj2T+tIp\nTkf7Sqng5c6IfxyQY4zJNcbUA28A05suYIzZZIw56Xq4GQi4y1guWH+QyPAwZk/S0b5SKri5U/w9\ngCNNHhe4prVkFvBBk8cG+EREtorInLZH9L78E1W8s72QmeN6kZIQZXUcpZTyKo9+OklEptBY/Jc0\nmXyJMaZQRLoAH4vIPmPMxmaeOweYA5Ce7ttr4zy//iC2MOFnl+loXykV/NwZ8RcCPZs8TnNN+x4R\nGQEsAaYbY058O90YU+j6bzHwNo2Hjs5ijFlkjMkwxmSkpKS4/xO0U8HJat76uoAZY3uS2iHaZ+tV\nSimruFP8XwEDRKSPiEQCNwPvNl1ARNKBVcBtxpgDTabHiUjCt98DVwK7PBXeE17YcBAR+Nll/ayO\nopRSPtHqoR5jjF1E5gIfATZgqTFmt4jc65q/EJgHdAaeFxEAuzEmA0gF3nZNCwdWGGM+9MpPch6K\nymt4M6uAf8noSfekGKvjKKWUT7h1jN8YswZYc8a0hU2+nw3MbuZ5ucDIM6f7ixc/zcVpDPfpaF8p\nFUJC9pO7xRW1rMg8zA0X9qBnp1ir4yillM+EbPG/uDEXh9PwwJT+VkdRSimfCsniL62s4/Ut+Uwf\n2Z1eneOsjqOUUj4VksW/+LNc6uxOHrhcR/tKqdATcsVfVlXPa1/mc+2I7vRLibc6jlJK+VzIFf/S\nz/OorncwV0f7SqkQFVLFX17dwMubDnH18K4MTE2wOo5SSlkipIp/2aY8KuvszJ0ywOooSillmZAp\n/oraBpZ+nscPhqQypHsHq+MopZRlQqb4X910iIpaOw9drqN9pVRoC4nir6yzs+TzPC6/oAvD0xKt\njqOUUpYKieJfvjmfU9UNPKhn8iilVPAXf3W9ncUbc5k0IJnR6R2tjqOUUpYL+uJfseUwJ6rqeXiq\nHttXSikI8uKvbXDw4sZcLurbmYzenayOo5RSfiGoi/+NzMOUnK7jIR3tK6XUd4K2+OvsDhZ+msu4\n3p2Y0FdH+0op9a2gLf43swo4VlHLg1P747r1o1JKKYK0+OvtTl7YcJDR6Ulc0j/Z6jhKKeVXgrL4\n395WQOGpGh66fICO9pVS6gxBV/wNDifPrc9heI9EJg9KsTqOUkr5HbeKX0Smich+EckRkUeamS8i\nMt81f4eIXOjucz1t9fajHCmr4aGpOtpXSqnmtFr8ImIDFgBXAUOAGSIy5IzFrgIGuL7mAC+04bke\n43AaFqzPYXC3DlwxuIu3VqOUUgHNnRH/OCDHGJNrjKkH3gCmn7HMdOBV02gzkCQi3dx8rse8t+Mo\neaVVPHS5nsmjlFItcaf4ewBHmjwucE1zZxl3nusRTqfh2XU5DEyN54dDu3pjFUopFRTCrQ7wLRGZ\nQ+NhItLT09v8/OoGBxm9OjJpQAphYTraV0qplrhT/IVAzyaP01zT3Fkmwo3nAmCMWQQsAsjIyDBu\n5Pqe+Khw/vSTEW19mlJKhRx3DvV8BQwQkT4iEgncDLx7xjLvAre7zu6ZAJQbY4rcfK5SSikfanXE\nb4yxi8hc4CPABiw1xuwWkXtd8xcCa4CrgRygGrjrXM/1yk+ilFLKLWJMm4+qeF1GRobJysqyOoZS\nSgUMEdlqjMlwZ9mg++SuUkqpc9PiV0qpEKPFr5RSIUaLXymlQowWv1JKhRi/PKtHREqA/PN8ejJQ\n6sE4nqK52kZztY3maptgzNXLGOPWtej9svjbQ0Sy3D2lyZc0V9torrbRXG0T6rn0UI9SSoUYLX6l\nlAoxwVj8i6wO0ALN1Taaq200V9uEdK6gO8avlFLq3IJxxK+UUuocArL423Pzd4tzTRaRchHZ7vqa\n56NcS0WkWER2tTDfqu3VWi6rtldPEVkvIntEZLeIPNzMMj7fZm7m8vk2E5FoEckUkW9cuZ5sZhkr\ntpc7uSz5HXOt2yYi20TkvWbmeXd7GWMC6ovGyzsfBPoCkcA3wJAzlrka+AAQYAKwxU9yTQbes2Cb\nXQpcCOxqYb7Pt5ebuazaXt2AC13fJwAH/OR3zJ1cPt9mrm0Q7/o+AtgCTPCD7eVOLkt+x1zr/gWw\norn1e3t7BeKIvz03f7c6lyWMMRuBsnMsYsX2cieXJYwxRcaYr13fnwb2cva9on2+zdzM5XOubVDp\nehjh+jrzzUMrtpc7uSwhImnAj4AlLSzi1e0ViMXfnpu/W50LYKLrT7cPRGSolzO5y4rt5S5Lt5eI\n9AZG0zhabMrSbXaOXGDBNnMdttgOFAMfG2P8Ynu5kQus+R37b+BXgLOF+V7dXoFY/IHsayDdGDMC\neBZ4x+I8/s7S7SUi8cBbwM+NMRW+XPe5tJLLkm1mjHEYY0bReF/tcSIyzBfrbY0buXy+vUTkGqDY\nGLPV2+tqSSAWf3tu/m5pLmNMxbd/ehpj1gARIpLs5VzusGJ7tcrK7SUiETSW6+vGmFXNLGLJNmst\nl9W/Y8aYU8B6YNoZsyz9HWspl0Xb62LgxyJyiMZDwpeLyPIzlvHq9grE4m/Pzd8tzSUiXUVEXN+P\no3H7n/ByLndYsb1aZdX2cq3zJWCvMebpFhbz+TZzJ5cV20xEUkQkyfV9DPADYN8Zi1mxvVrNZcX2\nMsY8aoxJM8b0prEn1hljbj1jMa9ur1Zvtu5vTDtu/u4HuW4E7hMRO1AD3Gxcb+F7k4ispPHshWQR\nKQCeoPGNLsu2l5u5LNleNI7IbgN2uo4PAzwGpDfJZsU2cyeXFdusG/CKiNhoLM6/GWPes/r/STdz\nWfU7dhZfbi/95K5SSoWYQDzUo5RSqh20+JVSKsRo8SulVIjR4ldKqRCjxa+UUiFGi18ppUKMFr9S\nSoUYLX6llAox/wdhY9ADJ1aP8wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb8e1a90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "money = np.array(sell_price) - np.array(buy_price)\n",
    "money = list(money)\n",
    "money.insert(0,0)\n",
    "money = np.array(money)\n",
    "capital = money.cumsum()\n",
    "plt.plot(capital)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 作业：\n",
    "写一个高低价通道突破策略"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
